Active Noise Control in Military Vehicle Cabin Using RBF Neural Network

Aiming at noise suppression within military vehicle cabins, active noise control is studied, An adaptive noise control project based on RBF networks is proposed, and an algorithm FX-RBF is given. Experimental study showed that as a local and whole conjunction neural network RBF network can be trained very quickly, and can overcome shortcomings of local minimum pole in BP networks. Experimental results showed that the average effect of canceling noise is up to 10 dB in the frequency range from 100～400 Hz.